Evidence map›Paper›PMID 42124415›Full record

ReviewZhongguo fei ai za zhi = Chinese journal of lung cancer2026

[Role of Gut Mycobiome in Lung Cancer Immunotherapy: 
Mechanisms, Challenges and Translational Prospects].

Xinyi Wang, Yu Sun, Min Liu, Zixuan He, Wenjiao Cao, Weiying Liu

Abstract readReviewEnglish Abstract
In one paragraph

Review in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Xinyi WangThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.
Yu SunThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.
Min LiuThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.
Zixuan HeThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.
Wenjiao CaoThe First Clinical Medical College, Lanzhou University, Lanzhou 730000, China.
Weiying LiuThe First Department of Respiratory and Critical Care Medicine, The First Hospital of Lanzhou University, Lanzhou 730000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is one of the most common malignancies with the highest morbidity and mortality worldwide. Immune checkpoint inhibitors (ICIs) have significantly improved the prognosis of patients with advanced lung cancer, but more than half of patients derive limited benefit. The gut microbiota can regulate tumor immunity and ICIs efficacy via the gut-lung axis. Although accounting for a small proportion, the gut mycobiome exerts key immunomodulatory effects, yet relevant research lags far behind that of bacteria. This review systematically summarizes the clinical association between the gut mycobiome and lung cancer, clarifies the potential mechanisms by which the mycobiome and its metabolites influence ICIs efficacy through immune regulation, metabolic modulation, and cross-kingdom interactions, and summarizes potential strategies including dietary intervention, fecal microbiota transplantation, and fungal targeting. It provides theoretical support for establishing mycobiome-based predictive models, developing precise interventions, and improving the efficacy of ICIs.
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Indexed as

Gastrointestinal MicrobiomeImmunotherapyLung NeoplasmsMycobiomeTranslational Research, BiomedicalAnimalsHumansBiomarkersGut-lung axisGut mycobiomeImmune checkpoint inhibitorsLung neoplasms

Identifiers

PMID42124415
PMCPMC13168028

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.